Patent Application
20220170945
The present invention relates to a method for assisting evaluation of kidney condition, to a system for evaluating kidney condition and to a program for evaluating kidney condition.
The kidneys are important organs for maintaining homeostasis in biological environments by excretion and absorption of body components, and they also perform the important functions of forming blood and bone, in addition to discharging waste products, regulating blood pressure and regulating body fluids and ions. Glomerular filtration rate (GFR) is a typical marker for indication of renal function. The glomerular filtration rate represents the liquid volume filtered per minute from blood by the glomeruli, with inulin clearance considered to be the international gold standard. However, measurement of inulin clearance requires continuous drip infusion of inulin over a period of 2 hours as well as urine and blood collection multiple times, which creates a burden for both the patient and the practitioner. For routine practice in the clinic, therefore, measurement of inulin clearance is only carried out for limited situations such as donors for live kidney transplant, otherwise being substituted by measurement of other markers such as creatinine. Inulin clearance is also poorly applicable in cases where kidney condition changes during a short period of time, such as in acute kidney injury. Most marker values, however, diverge significantly from the actual glomerular filtration rate according to the gold standard of inulin clearance, thus interfering with accurate diagnosis of kidney disease.
Creatinine is routinely measured in the clinic as a marker for renal function. Creatinine is the final metabolite of creatine which is necessary for muscle contraction. Creatine formed in the liver is taken up into muscle cells and partially metabolized to creatinine, transported to the kidneys through the blood, filtered by the glomeruli, and then excreted into urine in the renal tubules without being reabsorbed. It is utilized for evaluation of renal function because it can serve as an advantageous marker for uremia, since reduced glomerular filtration capacity leads to impaired discharge and accumulation in the blood causing its numerical value to increase. However, the amount of creatinine in blood does not appear as a clearly abnormal value until GFR has reduced by 50% or greater, and it therefore cannot be considered to be a sensitive marker.
Cystatin C is a protein of 13.36 kDa molecular weight that is produced in a fixed proportion by systemic nucleated cells, and is completely filtered out by the glomeruli and subsequently decomposed in the kidneys via reabsorption in the renal tubules, and since it is therefore thought to be removed from the blood depending on the filtration rate, its amount in blood serves as a GFR marker. When renal function is greatly reduced, however, the amount of increase in blood cystatin C reaches a plateau, and in end-stage kidney disease it becomes difficult to accurately evaluate renal function.
Thus, no biomarker has yet existed that can adequately meet clinical demands for accurately measuring kidney condition for individual patients in a wide range from early to late stage using only a sample or blood obtainable in a noninvasive manner, without a large burden on subjects or patients.
Conventionally, D-amino acids had been considered to be absent from mammalian bodies but have since been shown to be present in various tissues and to carry out physiological functions. It has been shown that the amounts of D-serine, D-alanine, D-proline, D-glutamic acid and D-aspartic acid in blood can serve as kidney failure markers since they vary in kidney failure patients and correlate with creatinine (NPL 1, NPL 2, NPL 3, NPL 4). It has also been disclosed that amino acids selected from the group consisting of D-serine, D-threonine, D-alanine, D-asparagine, D-allothreonine, D-glutamine, D-proline and D-phenylalanine serve as pathology marker values for kidney disease (PTL 1). It has also been disclosed that D-serine, D-histidine, D-asparagine, D-arginine, D-allothreonine, D-glutamic acid, D-alanine, D-proline, D-valine, D-alloisoleucine, D-phenylalanine and D-lysine in urine undergo sensitive fluctuation depending on nephropathy, and that parameters based on these amino acids can be used as marker values for pathology in kidney disease (PTL 2). Incidentally, while urine L-FABP, blood NGAL and urine KIM-1 have been disclosed as kidney disease markers in recent years, these are not associated with glomerular filtration capacity.
It is desired to provide a method for accurate evaluation and assessment of kidney condition of patients across a wider range than the currently known kidney disease markers.
The present inventors focused on the dynamics of filtration, reabsorption and excretion of D-serine and D-asparagine in the kidneys, and upon analyzing the relationship between their excretion rate and kidney condition, it was found that this provides new pathological information for evaluation and assessment of kidney condition, and the present invention was completed.
The present invention thus relates to the following:
[1] A method for assisting evaluation of kidney condition, using a combination of the rate of reabsorption and excretion of D-serine and/or D-asparagine in the kidneys of a subject and the blood D-serine level and/or the blood D-asparagine level as markers.
[2] The method according to [1] above, wherein the rate is the excretion rate of D-serine into urine of the subject (subject D-serine excretion rate) and/or the excretion rate of D-asparagine into urine of the subject (subject D-asparagine excretion rate).
[3] The method according to [2] above, wherein the excretion rate of D-serine and/or the excretion rate of D-asparagine is calculated with correction using a correction factor from blood and/or urine.
[4] The method according to [3] above, wherein the correction factor is one or more correction factors selected from the group consisting of glomerular filtration rate and urinary volume.
[5] The method according to [3] above, wherein the correction factor is one or more correction factors selected from the group consisting of inulin clearance and creatinine clearance.
[6] The method according to [3] above, wherein the correction factor is one or more correction factors selected from the group consisting of creatinine level and L-amino acid level.
[7] The method according to [3] above, wherein the correction factor is L-serine and/or L-asparagine.
[8] The method according to [2] or [3] above, wherein:
the excretion rate of D-serine is calculated by the following formula:
[where
UD-Ser represents the level of D-serine in the urine,
PD-Ser represents the level of D-serine in the blood,
UCre represents the level of creatinine in the urine, and
PCre represents the level of creatinine in the blood], and/or
the excretion rate of D-asparagine is calculated by the following formula:
[where
UD-Asn represents the level of D-asparagine in the urine,
PD-Asn represents the level of D-asparagine in the blood,
UCre represents the level of creatinine in the urine, and
PCre represents the level of creatinine in the blood].
[9] The method according to any one of [2] to [8] above, comprising
comparing:
evaluating kidney condition based on the relationship between the first subject coordinate and the first reference.
[10] The method according to [9] above, wherein the evaluating kidney condition is evaluating kidney disease or morbidity risk of the subject or predicting occurrence or prognosis of kidney disease, when the first subject coordinate is not within the first reference.
[11] The method according to [10] above, wherein the kidney disease is caused by chronic kidney disease, myeloma kidney, diabetic nephropathy, IgA nephropathy, interstitial nephritis or polycystic kidney, or systemic lupus erythematosus, primary aldosteronism, prostatic hypertrophy, Fabry disease or microvariant nephrotic syndrome.
[12] The method according to any one of [9] to [11] above, wherein the first reference is the range of mean±SD×coefficient Z of the plotted non-kidney disease coordinates.
[13] The method according to [12] above, wherein the coefficient Z is a value of 1.0 to 3.0.
[14] The method according to [12] or [13] above, wherein the coefficient Z is 1.96.
[15] A method for assisting evaluation of kidney condition, based on the relationship between a regression equation calculated by regression analysis of plotted non-kidney disease coordinates, and the subject coordinates.
[16] The method according to any one of [2] to [8] above, comprising evaluating kidney condition by comparing:
evaluating kidney condition based on the relationship between the second subject coordinate and the second reference.
[17] The method according to [16] above, wherein the evaluating kidney condition is evaluating kidney disease or morbidity risk of the subject or predicting occurrence or prognosis of kidney disease, when the second subject coordinate is not within the second reference.
[18] The method according to [17] above, wherein the kidney disease is caused by chronic kidney disease, myeloma kidney, diabetic nephropathy, IgA nephropathy, interstitial nephritis or polycystic kidney, or systemic lupus erythematosus, primary aldosteronism, prostatic hypertrophy, Fabry disease or microvariant nephrotic syndrome.
[19] The method according to any one of [16] to [18] above, wherein the second reference is the range of mean±SD×coefficient Z of the plotted non-kidney disease coordinates.
[20] The method according to [19] above, wherein the coefficient Z is a value of 1.0 to 3.0.
[21] The method according to [19] or [20] above, wherein the coefficient Z is 1.96.
[22] The method according to [16] above, wherein the second reference has a distance of 0.6 or less from the mean value of the plotted non-kidney disease coordinates.
[23] A method for assisting evaluation of kidney condition, from the relationship between a regression equation calculated from a regression line of plotted non-kidney disease coordinates based on logarithmic converted values, and a subject coordinate based on logarithmic converted values.
[24] A method of monitoring kidney condition, wherein the excretion rate of D-serine into urine (subject D-serine excretion rate) and/or the excretion rate of D-asparagine into urine (subject D-asparagine excretion rate), and the blood D-serine level and/or the blood D-asparagine level, of a subject are periodically measured, and the fluctuation between the subject D-serine excretion rate and/or the subject D-asparagine excretion rate and the blood D-serine level and/or the blood D-asparagine level is used as a marker.
[25] The method according to [24] above, which monitors kidney condition based on kidney disease caused by chronic kidney disease, myeloma kidney, diabetic nephropathy, IgA nephropathy, interstitial nephritis or polycystic kidney, or systemic lupus erythematosus, primary aldosteronism, prostatic hypertrophy, Fabry disease or microvariant nephrotic syndrome.
[26] A method of monitoring a therapeutic effect for kidney condition, wherein the excretion rate of D-serine into urine (subject D-serine excretion rate) and/or the excretion rate of D-asparagine into urine (subject D-asparagine excretion rate), and the blood D-serine level and/or the blood D-asparagine level, of a subject with kidney disease before and after therapeutic intervention are periodically measured, and the fluctuation between the subject D-serine excretion rate and/or the subject D-asparagine excretion rate and the blood D-serine level and/or the blood D-asparagine level is used as a marker.
[27] The method according to [26] above, wherein the kidney disease is caused by chronic kidney disease, myeloma kidney, diabetic nephropathy, IgA nephropathy, interstitial nephritis or polycystic kidney, or systemic lupus erythematosus, primary aldosteronism, prostatic hypertrophy, Fabry disease or microvariant nephrotic syndrome.
[28] A method for assisting evaluation of kidney condition, using the blood D-serine level and/or the blood D-asparagine level of a subject from whom urine cannot be sampled as a maker.
[29] The method according to [28] above, which assists evaluation of kidney condition based on kidney disease caused by chronic kidney disease, myeloma kidney, diabetic nephropathy, IgA nephropathy, interstitial nephritis or polycystic kidney, or systemic lupus erythematosus, primary aldosteronism, prostatic hypertrophy, Fabry disease or microvariant nephrotic syndrome.
[30] A method of assisting assessment of systemic lupus erythematosus when the blood D-serine level of a subject is 9 nmol/mL or greater.
[31] A system for evaluating kidney condition that comprises a storage unit, an input unit, an analytical measurement unit, a data processing unit and an output unit, wherein:
the storage unit stores a threshold value inputted from the input unit, and a calculation formula for D-serine excretion rate into urine and/or a calculation formula for D-asparagine excretion rate into urine,
the analytical measurement unit quantifies the D-serine level and/or D-asparagine level in a blood sample and/or urine sample,
the data processing unit calculates the D-serine excretion rate and/or D-asparagine excretion rate in urine generated from an element containing the quantified D-serine level and/or D-asparagine level in a blood sample and/or urine sample, and the calculation formula for D-serine excretion rate and/or the calculation formula for D-asparagine excretion rate stored in the storage unit,
the data processing unit evaluates kidney condition based on comparison between the threshold value stored in the storage unit and a combination of the D-serine excretion rate and/or D-asparagine excretion rate in the urine and the blood D-serine level and/or the blood D-asparagine level, and
the output unit outputs the evaluation results for kidney condition of the subject.
[32] The evaluation system according to [31] above, wherein:
the calculation formula for D-serine excretion rate is the following formula:
[where
UD-Ser represents the level of D-serine in the urine,
PD-Ser represents the level of D-serine in the blood,
UCre represents the level of creatinine in the urine, and
PCre represents the level of creatinine in the blood], and/or
the calculation formula for D-asparagine excretion rate is the following formula:
[where
UD-Asn represents the level of D-asparagine in the urine,
PD-Asn represents the level of D-asparagine in the blood,
UCre represents the level of creatinine in the urine, and
PCre represents the level of creatinine in the blood].
[33] A program that causes an information processing device comprising an input unit, an output unit, a data processing unit and a storage unit to evaluate kidney condition, wherein the program includes a command to cause the information processing device:
to store in the storage unit a threshold value for evaluation of kidney condition inputted from the input unit, a calculation formula for D-serine excretion rate and/or a calculation formula for D-asparagine excretion rate in urine, and variables necessary for calculation,
to store in the storage unit the D-serine level and/or D-asparagine level in a blood sample and/or urine sample and variables necessary for calculation of the D-serine excretion rate and/or D-asparagine excretion rate in urine, inputted from the input unit,
to call the calculation formula for D-serine excretion rate and/or the calculation formula for D-asparagine excretion rate in urine that is prestored in the storage unit, and the D-serine level and/or D-asparagine level in a blood sample and/or urine sample and the variables, which are stored in the storage unit, and substitute them into the calculation formula for D-serine excretion rate and/or the calculation formula for D-asparagine excretion rate in urine to calculate the D-serine excretion rate and/or the D-asparagine excretion rate, in the data processing unit;
to evaluate kidney condition based on comparison between the threshold stored in the storage unit and a combination of the D-serine excretion rate and/or D-asparagine excretion rate in urine, and the blood D-serine level and/or the blood D-asparagine level, in the data processing unit; and
to output the evaluation results for kidney condition of the subject to the output unit.
[34] The program according to [33] above, wherein:
the calculation formula for D-serine excretion rate is the following formula:
[where
UD-Ser represents the level of D-serine in the urine,
PD-Ser represents the level of D-serine in the blood,
UCre represents the level of creatinine in the urine, and
PCre represents the level of creatinine in the blood], and/or
the calculation formula for D-asparagine excretion rate is the following formula:
[where
UD-Asn represents the level of D-asparagine in the urine,
PD-Asn represents the level of D-asparagine in the blood,
UCre represents the level of creatinine in the urine, and
PCre represents the level of creatinine in the blood].
The method of analyzing the dynamics (reabsorption and excretion rate) of D-serine and/or D-asparagine in the kidneys according to the invention allows accurate assessment of kidney condition of patients in a wider range than by using the currently known kidney disease markers.
The present invention relates to a method for evaluating kidney condition by analyzing the dynamics (reabsorption and excretion) of D-serine and/or D-asparagine in the kidneys. The present inventors have found that the dynamics (reabsorption and excretion) of both D-serine and D-asparagine in the kidneys reflect kidney condition, and that they can be used for assessment of kidney condition in a subject. The invention may therefore be a method for assessing kidney condition by analysis of the dynamics (reabsorption and excretion) of D-serine in the kidneys, a method for evaluating kidney condition by analysis of the dynamics (reabsorption and excretion) of D-asparagine in the kidneys, or a method for assessing kidney condition by analysis of the dynamics (reabsorption and excretion) of D-serine and D-asparagine in the kidneys. The results of analyzing the dynamics (reabsorption and excretion) of either D-serine or D-asparagine in the kidneys can be used for assessment of kidney condition, but using the results of analyzing the dynamics (reabsorption and excretion) of both D-serine and D-asparagine in the kidneys increases the precision of evaluation, allowing judgment of false negatives and false positives as well.
The terms “first, “second”, etc. used throughout the present specification are used to distinguish one element from another, and a first element may be referred to as “second element”, or similarly a second element may be referred to as “first element”, without deviating from the gist of the invention.
Also throughout the specification, the phrase “excretion rate of D-serine into the urine of a subject” may be referred to as “subject D-serine excretion rate”, and the phrase “excretion rate of D-serine into the urine of a non-kidney disease subject” may be referred to as “non-kidney disease subject D-serine excretion rate”, with each being used interchangeably. Also throughout the specification, the phrase “excretion rate of D-asparagine into the urine of a subject” may be referred to as “subject D-asparagine excretion rate”, and the phrase “excretion rate of D-asparagine into the urine of a non-kidney disease subject” may be referred to as “non-kidney disease subject D-asparagine excretion rate”, with each being used interchangeably.
Also throughout the specification, the phrase “logarithmic converted subject D-serine excretion rate” may be referred to as “subject D-serine LN excretion rate”, and the phrase “logarithmic converted value of the excretion rate of D-serine into the urine of a non-kidney disease subject” may be referred to as “non-kidney disease subject D-serine LN excretion rate”, with each being used interchangeably. Also throughout the specification, the phrase “logarithmic converted subject D-asparagine excretion rate” may be referred to as “subject D-asparagine LN excretion rate”, and the phrase “logarithmic converted value of the excretion rate of D-asparagine into the urine of a non-kidney disease subject” may be referred to as “non-kidney disease subject D-asparagine LN excretion rate”, with each being used interchangeably.
As used herein, the simple term “subject” refers to any mammal, and preferably a human, regardless of the presence or absence of kidney disease. Also as used herein, the term “non-kidney disease subject” refers to a subject without kidney disease, or diagnosed as not having kidney disease, and for example, it is preferably a subject not suffering from kidney disease or other conditions that may elicit nephropathy.
According to one embodiment, the present invention provides a method for assisting evaluation of kidney condition, using a combination of the rate of reabsorption and excretion of D-serine and/or D-asparagine in the kidneys of a subject and the blood D-serine level and/or the blood D-asparagine level as markers. The rate of reabsorption and excretion of D-serine and D-asparagine can each be calculated by quantifying the amounts of D-serine and D-asparagine in blood, and the amounts of D-serine and D-asparagine in urine, respectively. According to one embodiment, therefore, the “rate of reabsorption and excretion of D-serine and/or D-asparagine in the kidneys of a subject” of the invention may be “the excretion rate of D-serine into urine of a subject” (“subject D-serine excretion rate”) and/or the “excretion rate of D-asparagine into urine of a subject” (“subject D-asparagine excretion rate”).
According to the invention, the excretion rate (excretion) is a marker representing the degree of discharge into urine of the amount of target components that have been filtered through the glomeruli by way of the regulating function of the renal tubules (reabsorption and secretion), and it is expressed as a proportion or percentage, or in arbitrary units. The value can be calculated after excluding the effect of reabsorption or concentration of water by correction using a correction factor, and expressed as fractional excretion (FE). Since urine often has a variable concentration rate, the percentages of reabsorption and excretion of D-serine and/or D-asparagine in the kidneys of a subject may be corrected using a “correction factor” that corrects for the urine concentration rate. According to one embodiment of the invention, for example, the subject D-serine excretion rate and/or the subject D-asparagine excretion rate may be corrected by a correction factor derived from the blood and/or urine. In its most simple form, the excretion rate is expressed as a percentage of the amount of target components in urine divided by the glomerular filtration rate for the target components, and the glomerular filtration rate obtained by inulin clearance or the actually measured urinary volume, as well as the amounts of target components in blood and/or in urine, may also be used for the calculation. L-amino acid levels (preferably the levels of L-serine and/or L-asparagine) in urine may also be used as urinary volume correction factors for calculation of the D-amino acid excretion rate. Creatinine clearance, calculated by urine creatinine level or the blood creatinine level, may also be used as a correction factor, expressing the D-serine excretion rate by the following formula, for example. This may then be multiplied by 100 to obtain a percent (%).
[UD-Ser represents urine D-serine level, PD-Ser represents blood D-serine level, UCre represents urine creatinine level and PCre represents blood creatinine level.]
The D-asparagine excretion rate is represented by the following formula, for example. This may then be multiplied by 100 to obtain a percent (%).
[UD-Asn represents urine D-asparagine level, PD-Asn represents blood D-asparagine level, UCre represents urine creatinine level and PCre represents blood creatinine level.]
Sodium fractional excretion is utilized to distinguish between kidney disease due to dehydration and due to nephropathy. Potassium fractional excretion and urea nitrogen fractional excretion are also used in the clinic as markers for assessment of pathology. Generally, excretion rate is understood to be based on the principle of homeostasis, in which excretion volume into urine generally increases with greater intake or biosynthesis of target components and decreases with lower intake and greater biodegradation. Therefore, damage or pathological changes to the kidneys that are carrying out major homeostasis of body components affects the changes in excretion rate. Creatinine, as a conventional kidney disease marker, is completely excreted while cystatin C is completely reabsorbed, but excretion and reabsorption of D-serine and D-asparagine are strictly controlled by the renal tubules, similar to electrolytes, suggesting that they can serve as more sensitive and highly precise pathology markers.
According to the invention, D-serine and D-asparagine used for analysis are the optical isomers of L-serine and L-asparagine, which are constituent amino acids of proteins. D-serine levels and D-asparagine levels are strictly regulated in the tissues and body fluids by metabolic enzymes such as serine racemase and D-amino acid oxidase, and by transporters, but D-serine levels and D-asparagine levels in the blood and urine vary with renal impairment.
According to the invention, “D-serine level and/or D-asparagine level in the blood and urine” may indicate the D-serine level and/or D-asparagine level in a specific blood volume or urinary volume, and they may also be represented as concentrations. The D-serine level and/or D-asparagine level in blood or urine is measured as the amount in a sample of blood or urine that has been treated by centrifugal separation, sedimentation separation or other pretreatment for analysis. Therefore, the D-serine level and/or D-asparagine level in blood or urine can be measured as the amount in a blood sample, such as harvested whole blood, serum or blood plasma, or the amount in a urine sample such as whole urine, or urine with the solid components and proteins removed. For analysis using HPLC, for example, the D-serine level in a predetermined amount of blood or urine is represented in a chromatogram, and the peak heights, areas, shapes and sizes may be quantified by analysis based on standard sample comparison and calibration. By comparing the D-serine and/or D-asparagine concentration with a known sample it is possible to measure the D-serine and/or D-asparagine concentration in blood or urine, and the D-serine and/or D-asparagine concentration in blood or urine can be used as the D-serine level and/or D-asparagine level in blood or urine. With an enzyme method, the amino acid concentration can be calculated by quantitative analysis using a standard calibration curve.
The D- and L-amino acid levels, such as levels of D-serine and/or D-asparagine and levels of L-serine and/or L-asparagine, may be measured by any method, such as chiral column chromatography, or measurement using an enzyme method, or quantitation by an immunological method using a monoclonal antibody that distinguishes between optical isomers of amino acids. Measurement of the D-serine and L-serine levels in a sample according to the invention may be carried out using any method well known to those skilled in the art. Examples include chromatographic and enzyme methods (Y. Nagata et al., Clinical Science, 73 (1987), 105. Analytical Biochemistry, 150 (1985), 238, A. D'Aniello et al., Comparative Biochemistry and Physiology Part B, 66 (1980), 319. Journal of Neurochemistry, 29 (1977), 1053, A. Berneman et al., Journal of Microbial & Biochemical Technology, 2 (2010), 139, W. G. Gutheil et al., Analytical Biochemistry, 287 (2000), 196, G. Molla et al., Methods in Molecular Biology, 794 (2012), 273, T. Ito et al., Analytical Biochemistry, 371 (2007), 167), antibody methods (T. Ohgusu et al., Analytical Biochemistry, 357 (2006), 15), gas chromatography (GC) (H. Hasegawa et al., Journal of Mass Spectrometry, 46 (2011), 502, M. C. Waldhier et al., Analytical and Bioanalytical Chemistry, 394 (2009), 695, A. Hashimoto, T. Nishikawa et al., FEBS Letters, 296 (1992), 33, H. Bruckner and A. Schieber, Biomedical Chromatography, 15 (2001), 166, M. Junge et al., Chirality, 19 (2007), 228, M. C. Waldhier et al., Journal of Chromatography A, 1218 (2011), 4537), capillary electrophoresis methods (CE) (H. Miao et al., Analytical Chemistry, 77 (2005), 7190, D. L. Kirschner et al., Analytical Chemistry, 79 (2007), 736, F. Kitagawa, K. Otsuka, Journal of Chromatography B, 879 (2011), 3078, G. Thorsen and J. Bergquist, Journal of Chromatography B, 745 (2000), 389), and high performance liquid chromatography (HPLC) (N. Nimura and T. Kinoshita, Journal of Chromatography, 352 (1986), 169, A. Hashimoto et al., Journal of Chromatography, 582 (1992), 41, H. Bruckner et al., Journal of Chromatography A, 666 (1994), 259, N. Nimura et al., Analytical Biochemistry, 315(2003), 262, C. Muller et al., Journal of Chromatography A, 1324 (2014), 109, S. Einarsson et al., Analytical Chemistry, 59 (1987), 1191, E. Okuma and H. Abe, Journal of Chromatography B, 660 (1994), 243, Y. Gogami et al., Journal of Chromatography B, 879 (2011), 3259, Y. Nagata et al., Journal of Chromatography, 575 (1992), 147, S. A. Fuchs et al., Clinical Chemistry, 54 (2008), 1443, D. Gordes et al., Amino Acids, 40 (2011), 553, D. Jin et al., Analytical Biochemistry, 269 (1999), 124, J. Z. Min et al., Journal of Chromatography B, 879 (2011), 3220, T. Sakamoto et al., Analytical and Bioanalytical Chemistry, 408 (2016), 517, W. F. Visser et al., Journal of Chromatography A, 1218 (2011), 7130, Y. Xing et al., Analytical and Bioanalytical Chemistry, 408 (2016), 141, K. Imai et al., Biomedical Chromatography, 9 (1995), 106, T. Fukushima et al., Biomedical Chromatography, 9 (1995), 10, R. J. Reischl et al., Journal of Chromatography A, 1218 (2011), 8379, R. J. Reischl and W. Lindner, Journal of Chromatography A, 1269 (2012), 262, S. Karakawa et al., Journal of Pharmaceutical and Biomedical Analysis, 115 (2015), 123).
The separative analysis system for optical isomers according to the invention may be a combination of multiple separative analysis methods. More specifically, the D-/L-amino acid level in a sample can be measured using an optical isomer analysis method comprising a step of passing a sample containing a component with optical isomers through a first column filler as the stationary phase, together with a first liquid as the mobile phase, to separate the components in the sample, a step of separately holding each of the components in the sample in a multi loop unit, a step of passing each of the components in the sample that are separately held in the multi loop unit through a flow channel in a second column filler having an optically active center, as the stationary phase, together with a second liquid as the mobile phase, to separate the optical isomers among each of the sample components, and a step of detecting the optical isomers in each of the sample components (Japanese Patent No. 4291628). In HPLC analysis, D- and L-amino acids are sometimes pre-derivatized with a fluorescent reagent such as o-phthalaldehyde (OPA) or 4-fluoro-7-nitro-2,1,3-benzooxadiazole (NBD-F), or diastereomerized using an agent such as N-tert-butyloxycarbonyl-L-cysteine (Boc-L-Cys) (Hamase, K. and Zaitsu, K., Bunseki Kagaku, Vol. 53, 677-690(2004)). Alternatively, the D-amino acids may be measured by an immunological method using a monoclonal antibody that distinguishes optical isomers of amino acids, such as a monoclonal antibody that specifically binds to D-serine, L-serine, D-asparagine or L-asparagine. When the total of the D-form and L-form is to be used as the marker it is not necessary to separate the D-form and L-form, allowing the amino acids to be analyzed without separating the D-form and L-form. In such cases as well, separation and quantitation may be carried out using an enzyme method, antibody method, GC, CE or HPLC.
Blood D-serine levels and D-asparagine levels correlate more strongly with glomerular filtration rate than the conventional marker of creatinine. This is because blood levels of creatinine are significantly affected by muscle mass, and therefore sports athletes, acromegaly patients and persons that have ingested large amounts of meat will exhibit higher values, while patients suffering from neuromuscular disease (such as muscular dystrophy), emaciation, prolonged bed rest, frailty, sarcopenia, locomotive syndrome or amputation, or persons that have restricted their protein intake, will exhibit lower values, making it impossible to accurately reflect renal function. In healthy persons without presence of disease, blood D-serine level is kept to within a very narrow range of about 1 to 2% of total serine, whereas its presence in urine reaches 30 to 60%. Interestingly, while about 99% of L-serine is reabsorbed in the renal tubules, about 50 to 80% of D-serine is excreted. Moreover, in healthy persons without presence of disease, blood D-asparagine level is kept to within a very narrow range of about 0.1 to 0.6% of total asparagine, whereas its presence in urine reaches 20 to 50%. Interestingly, while about 99% of L-asparagine is reabsorbed in the renal tubules, about 50 to 80% of D-asparagine is excreted.
Unlike blood D-serine level and D-asparagine level, the excretion rates of D-serine and D-asparagine used for the purpose of the invention do not correlate with glomerular filtration rate, as has been shown by chiral amino acid metabolomics and multivariate analysis of related parameters (OPLS). As it has been suggested that reabsorption of optical isomers of serine and D-asparagine is strictly regulated in the renal tubules of the kidneys, 15 healthy volunteers were recruited as a survey population for analysis of D-serine and D-asparagine excretion rates in non-kidney disease test subjects, in order to examine the physiological significance of D-serine and D-asparagine. The test protocol was approved by the ethics committee of the national research and development agency: National Institutes of Biomedical Innovation, Health and Nutrition, and written informed consent was obtained from all of the test subjects. The group of non-kidney disease test subjects had an average age of 44 and were 80% male, with average height of 1.70 m, average weight of 68.9 kg, average BSA of 1.80 m2, mean BMI of 22.6 kg/m2 and mean serum creatinine of 0.75 mg/dL.
Using the following formula with quantitative analysis values for D-serine and D-asparagine in the blood and urine of the test subjects, the mean excretion rate for D-serine was 62.76%, with a mean logarithmic value calculated to be 4.12, and the mean excretion rate for D-asparagine was 64.12%, with a mean logarithmic value calculated to be 4.16 (
[UD-Ser represents urine D-serine level, PD-Ser represents blood D-serine level, UCre represents urine creatinine level and PCre represents blood creatinine level.]
[UD-Asn represents urine D-asparagine level, PD-Asn represents blood D-asparagine level, UCre represents urine creatinine level and PCre represents blood creatinine level.]
For D-serine, since a normal distribution-like shape was observed in the histogram of the obtained logarithmic data prepared at the 6th quantile (
For D-asparagine, since a normal distribution-like shape was observed in the histogram of the obtained logarithmic data prepared at the 6th quantile (
Since blood D-serine level and D-asparagine level correlate strongly with glomerular filtration rate, their analysis can be applied to severity classifications (G1 to 5) for chronic kidney disease (CKD), defined according to the guidelines of the Japanese Society of Nephrology, but since the D-serine excretion rate analyzed with urine D-serine level or D-asparagine excretion rate analyzed with urine D-asparagine level can assist evaluation of kidney condition by a completely different mechanism not correlated with glomerular filtration rate, these are highly useful for clinical distinction and prognosis and diagnosis of pathology, which have been difficult with conventional markers.
According to one embodiment, the present invention may be a method comprising
comparing:
a first reference calculated from non-kidney disease coordinates plotting excretion rates of D-serine into the urine (non-kidney disease subject D-serine excretion rates) and/or excretion rate of D-asparagine into the urine (non-kidney disease subject D-asparagine excretion rates), and blood D-serine levels and/or D-asparagine levels, for multiple non-kidney disease subjects; and
evaluating kidney condition based on the relationship between the first subject coordinate and the first reference.
According to a first embodiment of the invention, for example, the invention may provide a method comprising
comparing:
evaluating kidney condition based on the relationship between the first subject coordinate and the first reference.
According to a second embodiment of the invention, for example, the invention may provide a method comprising
comparing:
evaluating kidney condition based on the relationship between the first subject coordinate and the first reference.
The method of the first embodiment and the method of the second embodiment may also be combined to evaluate kidney condition, which will not only improve the precision of evaluating kidney condition but will also allow false positivity and false negativity to be assessed.
As used herein, “first reference” means a reference calculated from coordinates (“non-kidney disease coordinates”), plotting excretion rates of D-serine into urine (non-kidney disease subject D-serine excretion rates) and/or excretion rates of D-asparagine into urine (non-kidney disease subject D-asparagine excretion rates), and blood D-serine levels and/or blood D-asparagine levels for multiple non-kidney disease subjects, and used for evaluation of kidney condition of a subject. According to one embodiment, the first reference to be used for the invention may be calculated from non-kidney disease coordinates plotting excretion rates of D-serine into urine (non-kidney disease subject D-serine excretion rates), and blood D-serine levels, for multiple non-kidney disease subjects. According to one embodiment, the first reference to be used for the invention may be calculated from non-kidney disease coordinates plotting excretion rates of D-asparagine into urine (non-kidney disease subject D-asparagine excretion rates), and blood D-asparagine levels, for multiple non-kidney disease subjects. The number of “non-kidney disease subjects” used to calculate the first reference is preferably a number sufficient to calculate a statistically significant reference, and for the purpose of the invention a number of, for example, 3, 5, 10, 15, 20, 30, 50, 100 or greater may be used.
As used herein, “first subject coordinate” is a coordinate plotting subject D-serine excretion rate and/or subject D-asparagine excretion rate and blood D-serine level and/or D-asparagine level, for a subject being evaluated for kidney condition. For example, according to one embodiment, the first subject coordinate to be used for the invention may be a coordinate plotting subject D-serine excretion rate and blood D-serine level for a subject being evaluated for kidney condition. Also according to one embodiment, the first subject coordinate to be used for the invention may be a coordinate plotting subject D-asparagine excretion rate and blood D-asparagine level for a subject being evaluated for kidney condition. According to the invention, the kidney condition of a subject can be evaluated by comparing the first subject coordinate and the first reference.
According to one embodiment, the first reference of the invention may be a range of mean±SD×coefficient Z of the plotted non-kidney disease coordinates. As used herein, “coefficient Z” is a coefficient used to calculate the confidence interval used for statistical analysis, and it is preferably a value of 1.0 to 3.0, for example, and more preferably 1.96. According to one embodiment, the first reference is preferably in the range of 0.4 to 0.9.
According to one embodiment, the step of evaluating kidney condition of the invention may evaluate kidney disease or morbidity risk of the subject or predict occurrence or prognosis of kidney disease, when the first subject coordinate is not within the first reference.
According to one embodiment, the kidney disease that can be evaluated according to the invention may be kidney disease caused by chronic kidney disease, myeloma kidney, diabetic nephropathy, IgA nephropathy, interstitial nephritis or polycystic kidney, or systemic lupus erythematosus, primary aldosteronism, prostatic hypertrophy, Fabry disease or microvariant nephrotic syndrome.
According to another embodiment, the invention can provide a method for assisting evaluation of kidney condition from the relationship between a regression equation calculated by regression analysis of plotted non-kidney disease coordinates, and a subject coordinate. Based on the coordinate positions and distances of the analyzed subject plotted data and regression equation, it is possible to evaluate fluctuation in D-serine and/or D-asparagine dynamics with respect to non-kidney disease patients. For example, fluctuation toward the positive end of the excretion rate axis can be judged as accelerated excretion, while fluctuation toward the negative end can be judged as kidney condition with accelerated reabsorption, the severity being greater with increasing distance.
According to another embodiment, the invention can provide a method comprising
comparing:
evaluating kidney condition based on the relationship between the second subject coordinate and the second reference.
According to the first embodiment, therefore, the invention can provide a method comprising
comparing:
a second subject coordinate, plotting logarithmic converted subject D-serine excretion rate (subject D-serine LN excretion rate) and logarithmic converted blood D-serine level, with
a second reference calculated from non-kidney disease coordinates plotting logarithmic converted excretion rates of D-serine into the urine (non-kidney disease subject D-serine LN excretion rates), and logarithmic converted blood D-serine levels, for multiple non-kidney disease subjects; and
evaluating kidney condition based on the relationship between the second subject coordinate and the second reference.
According to the second embodiment, the invention can provide a method comprising
comparing:
a second reference calculated from non-kidney disease coordinates plotting logarithmic converted excretion rates of D-asparagine into the urine (non-kidney disease subject D-asparagine LN excretion rates), and logarithmic converted blood D-asparagine levels, for multiple non-kidney disease subjects,
evaluating kidney condition based on the relationship between the second subject coordinates and the second reference.
The method of the first embodiment and the method of the second embodiment may also be combined to evaluate kidney condition, which will not only improve the precision of evaluating kidney condition but will also allow false positivity and false negativity to be assessed.
As used herein, the “logarithmic converted value” is the value obtained by logarithmically converting the value of interest, and it may be the value of interest that has been converted to the natural logarithm, or the value of interest that has been converted to a common logarithm using any base.
As used herein, “second reference” means a reference calculated from coordinates plotting logarithmic converted subject D-serine excretion rate (subject D-serine LN excretion rate) and/or logarithmic converted subject D-asparagine excretion rate (subject D-asparagine LN excretion rate), and logarithmic converted blood D-serine level and/or logarithmic converted blood D-asparagine level (“non-kidney disease coordinates”), for multiple non-kidney disease subjects, and used for evaluation of kidney condition of a subject. According to one embodiment, the second reference to be used for the invention may be calculated from non-kidney disease coordinates plotting logarithmic converted subject D-serine excretion rates (subject D-serine LN excretion rates) and logarithmic converted blood D-serine levels. According to another embodiment, the second reference to be used for the invention may be calculated from non-kidney disease coordinates plotting logarithmic converted subject D-asparagine excretion rates (subject D-asparagine LN excretion rates) and logarithmic converted blood D-asparagine levels. The number of “non-kidney disease subjects” used to calculate the second reference is preferably a number sufficient to calculate a statistically significant reference, and for the purpose of the invention a number of, for example, 3, 5, 10, 15, 20, 30, 50, 100 or greater may be used.
According to one embodiment, the second reference to be used for the invention may be a range of mean±SD×coefficient Z of the plotted non-kidney disease coordinates. In this case the coefficient Z is preferably a value of 1.0 to 3.0, and more preferably 1.96. According to another embodiment, the second reference is preferably in the range of 3.5 to 5.0.
According to one embodiment, the second reference to be used for the invention may be a distance of 0.6 or less from the mean value of the plotted non-kidney disease coordinates.
According to one embodiment, the step of evaluating kidney condition of the invention may evaluate kidney disease or morbidity risk of the subject or predict occurrence or prognosis of kidney disease, when the second subject coordinate is not within the second reference.
According to another embodiment, the invention may be a method for assisting evaluation of kidney condition, from the relationship between a regression equation calculated from a regression line of plotted non-kidney disease coordinates based on logarithmic converted values, and a subject coordinate based on logarithmic converted values. Based on the coordinate positions and distances of the analyzed subject plotted data and regression equation, it is possible to evaluate fluctuation in D-serine and/or D-asparagine dynamics with respect to non-kidney disease patients. For example, fluctuation toward the positive end of the excretion rate axis can be judged as accelerated excretion, while fluctuation toward the negative end can be judged as kidney condition with accelerated reabsorption, the severity being greater with increasing distance.
When pathology is assessed by the method of the invention, it may be used as the basis to determine a treatment policy. Treatment methods for different pathologies may be selected as appropriate, and for example, the first subject coordinate or second subject coordinate may be controlled while being periodically monitored, so that they are within the reference range for non-kidney disease patients (for example, the aforementioned first reference or second reference range). Therapeutic intervention is guidance for one or a combination from among lifestyle habit improvement, dietary guidance, blood pressure management, anemia management, electrolyte management, uremia management, blood sugar level management, immune management or lipid management. Lifestyle habit improvement may be a recommendation to stop smoking or to reduce the BMI value to below 25. Dietary guidance may be salt or protein restriction. For blood pressure management, anemia management, electrolyte management, uremic toxin manage, blood sugar level management, immune management or lipid management in particular, treatment may involve administration of a drug. Blood pressure management may involve general management or administration of an antihypertensive drug, to reach below 130/80 mmHg. Antihypertensive drugs include diuretic drugs (thiazide diuretics such as trichlormethiazide, benzylhydrochlorothiazide and hydrochlorothiazide, thiazide-like diuretics such as meticrane, indapamide, tribamide and mefluside, loop diuretics such as furosemide, and potassium-sparing diuretics and aldosterone antagonists such as triamterene, spironolactone and eplerenone), calcium antagonists (dihydropyridine-based antagonists such as nifedipine, amlodipine, efonidipine, cilnidipine, nicardipine, nisoldipine, nitrendipine, nilvadipine, barnidipine, felodipine, benidipine, manidipine, azelnidipine and aranidipine, benzodiazepine-based antagonists, and diltiazem), angiotensin converting enzyme inhibitors (such as captopril, enalapril, acelapril, delapril, cilazapril, lisinopril, benazepril, imidapril, temocapril, quinapril, trandolapril and perindopril erbumine), angiotensin receptor antagonists (angiotensin II receptor antagonists such as losartan, candesartan, valsartan, telmisartan, olmesartan, irbesartan and azilsartan), and sympatholytic drugs (β-blockers, such as atenolol, bisoprolol, betaxolol, metoprolol, acebutolol, celiprolol, propranolol, nadolol, carteolol, pindolol, nipradilol, amosulalol, arotinolol, carvedilol, labetalol, bevantolol, urapidil, terazosin, prazosin, doxazosin and bunazosin). Erythropoietin formulations, iron agents and HIF-1 inhibitors are used as anemia treatments. Calcium receptor agonists (such as cinacalcet and etelcalcetide) and phosphorus adsorbents are used as electrolyte regulators. Active carbon is used as a uremic toxin adsorbent. Blood glucose level is managed to Hbalc of <6.9%, and in some cases a hypoglycemic agent is administered. Hypoglycemic agents that are used include SGLT2 inhibitors (such as ipragliflozin, dapagliflozin, luseogliflozin, tofogliflozin, canagliflozin and empagliflozin), DPP4 inhibitors (such as sitagliptin phosphate, vildagliptin, saxagliptin, alogliptin, linagliptin, teneligliptin, trelagliptin, anagliptin, omarigliptin), sulfonylurea agents (such as tolbutamide, acetohexamide, chlorpropamide, glyclopyramide, glibenclamide, gliclazide and glimepiride), thiazolidine agents (such as pioglitazone), biguanide agents (such as metformin and buformin), α-glucosidase inhibitors (such as acarbose, voglibose and miglitol), glinide agents (such as nateglinide, mitiglinide and repaglinide), insulin formulations and NRF2 activators (such as bardoxolonemethyl). Immunosuppressive agents (such as steroids, tacrolimus, anti-CD20 antibody, cyclohexamide and mycophenolate mofetil (MMF)) are used for immune management. Lipid management includes management to lower LDL-C to below 120 mg/dL, or in some cases dyslipidemia treatments are used, including statins (such as rosuvastatin, pitavastatin, atorvastatin, cerivastatin, fluvastatin, simvastatin, pravastatin, lovastatin and mevastatin), fibrates (such as clofibrate, bezafibrate, fenofibrate and clinofibrate), nicotinic acid derivatives (such as nicotinic acid derivatives (tocopherol nicotinate, nicomol and niceritrol), cholesterol transporter inhibitors (such as ezetimibe), PCSK9 inhibitors (such as evolocumab) and EPA formulations. All of these drugs may be used as single dosage forms or mixtures. Depending on the degree of renal function impairment, renal replacement therapy such as peritoneal dialysis, hemodialysis, continuous hemodialysis filtration, blood apheresis (such as blood plasma exchange or blood plasma adsorption) or kidney transplant may also be carried out.
According to one embodiment, therefore, the invention can provide a method of monitoring kidney condition, wherein the excretion rate of D-serine into urine (subject D-serine excretion rate) and/or the excretion rate of D-asparagine into urine (subject D-asparagine excretion rate), and the blood D-serine level and/or the blood D-asparagine level, of a subject are periodically measured, and the fluctuation between the subject D-serine excretion rate and/or the subject D-asparagine excretion rate and the blood D-serine level and/or the blood D-asparagine level is used as a marker. According to one embodiment, the invention may be a method of monitoring kidney condition, wherein excretion rate of D-serine in urine (subject D-serine excretion rate) and the blood D-serine level of a subject are periodically measured, and the fluctuation between the subject D-serine excretion rate and blood D-serine level is used as a marker, and according to another embodiment, the invention may be a method of monitoring kidney condition wherein the excretion rate of D-asparagine in urine (subject D-asparagine excretion rate) and the blood D-asparagine level of a subject are periodically measured, and the fluctuation between the subject D-asparagine excretion rate and the blood D-asparagine level is used as a marker, or it may be a method of monitoring kidney condition that is a combination of both.
According to another embodiment, the invention may be a method of monitoring a therapeutic effect for kidney condition, wherein the excretion rate of D-serine into urine (subject D-serine excretion rate) and/or the excretion rate of D-asparagine into urine (subject D-asparagine excretion rate), and the blood D-serine level and/or D-asparagine level, of a subject with kidney disease before and after therapeutic intervention are periodically measured, and the fluctuation between the subject D-serine excretion rate and/or the subject D-asparagine excretion rate and the blood D-serine level and/or D-asparagine level is used as a marker. According to one embodiment, the invention may be a method of monitoring a therapeutic effect for kidney condition, wherein excretion rate of D-serine into urine (subject D-serine excretion rate) and the blood D-serine level of a subject with kidney disease are periodically measured before and after therapeutic intervention, and the fluctuation between the subject D-serine excretion rate and blood D-serine level is used as a marker, and according to another embodiment, the invention may be a method of monitoring a therapeutic effect for kidney condition wherein the excretion rate of D-asparagine into urine (subject D-asparagine excretion rate) and the blood D-asparagine level of a subject with kidney disease are periodically measured before and after therapeutic intervention, and the fluctuation between the subject D-asparagine excretion rate and the blood D-asparagine level is used as a marker, or it may be a method of monitoring a therapeutic effect for kidney condition that is a combination of both.
The method of the invention can be used to evaluate kidney disease in a subject, such as kidney disease caused by chronic kidney disease, myeloma kidney, diabetic nephropathy, IgA nephropathy, interstitial nephritis or polycystic kidney, or systemic lupus erythematosus, primary aldosteronism, prostatic hypertrophy, Fabry disease or microvariant nephrotic syndrome.
According to another embodiment, the invention provides a method for assisting evaluation of kidney condition, using the blood D-serine level and/or the blood D-asparagine level of a subject from whom urine cannot be sampled as a marker. As used herein, a “subject from whom urine cannot be sampled” is, for example, a subject with extremely reduced renal function, such as chronic renal failure or acute renal failure for which renal replacement therapy (dialysis, plasma exchange or kidney transplant) has been indicated.
According to another embodiment, the invention provides a method for assisting assessment of systemic lupus erythematosus when the blood D-serine level of a subject is 9 nmol/mL or greater.
According to another aspect, the invention relates to a system and program for carrying out the aforementioned method for assisting evaluation of kidney condition.
More specifically, in the sample analysis system 10 of the invention, the storage unit 11 stores a combination of an excretion rate calculated from D-serine level and/or D-asparagine level in a blood sample or in a urine sample that have been inputted through the input unit 12, and a blood D-serine level and/or D-asparagine level, and also a reference value and a table or graph corresponding to pathological information, the analytical measurement unit 13 separates and quantifies D-serine and/or D-asparagine in the blood sample and/or urine sample, the data processing unit 14 substitutes the values of the excretion rate calculated from the D-serine level and/or D-asparagine level, and the blood D-serine level and/or D-asparagine level, into a formula obtained from the reference value and pathological information, or reads them out from the corresponding table or graph, to assess pathology, and the output unit 15 outputs the pathological information.
According to a more preferred aspect, the system for evaluating kidney condition of the invention may further include a step in which the storage unit 11 stores a reference value inputted from the input unit 12, and a step in which the data processing unit 14 compares a combination of the excretion rate calculated from the separated and quantified D-serine level and/or D-asparagine level, and the blood D-serine level and/or D-asparagine level, with the reference value. In this case, the output unit 15 outputs that kidney disease is suspected if the combination of the D-serine excretion rate and/or the D-asparagine excretion rate and the blood D-serine level and/or D-asparagine level is outside of the reference range.
The storage unit 11 has a portable storage device which may be a memory device such as a RAM, ROM or flash memory, a fixed disk device such as a hard disk drive, or a flexible disk or optical disk. The storage unit stores data measured by the analytical measurement unit, data and instructions inputted from the input unit, and results of computation processing by the data processing unit, as well as the computer program and database to be used for processing by the information processing equipment. The computer program may be a computer readable recording medium such as a CD-ROM or DVD-ROM, or it may be installed via the internet. The computer program is installed in the storage unit using a commonly known setup program, for example. The storage unit stores data for the formula derived from the relationship between the combination of the D-serine excretion rate and blood D-serine level and pathology, or for the corresponding table or graph, which have been inputted through the input unit 12 beforehand. Kidney condition classifications corresponding to excretion rate may also be stored.
The input unit 12 is an interface and also includes operating devices such as a keyboard and mouse. This allows the input unit to input data measured by the analytical measurement unit 13 and instructions for computation processing to be carried out by the data processing unit 14. When the analytical measurement unit 13 is external, for example, the input unit 12 may also include an interface unit allowing input of measured data through a network or storage medium, separately from the operating device.
The analytical measurement unit 13 carries out a step of measuring D-serine and/or D-asparagine in a blood sample and/or urine sample. The analytical measurement unit 13 therefore has a construction allowing separation and measurement of the D-forms and L-forms of amino acids. The amino acids may be analyzed one at a time, or some or all of the amino acid types may be analyzed at once. With no intention to be limitative, the analytical measurement unit 13 may be a chiral chromatography system comprising a sample introduction inlet, an optical resolution column and a detector, for example, and it is preferably a high-performance liquid chromatography system. From the viewpoint of detecting the levels of only specific amino acids, quantitation may be carried out by an enzyme method or immunological method. The analytical measurement unit 13 may be constructed separately from the system for evaluating kidney condition, and measured data may be inputted through the input unit 12 using a network or storage medium.
The data processing unit 14 calculates excretion rates from measured D-serine levels and/or D-asparagine levels, and substitutes the values into a formula derived from the relationship with a combination of excretion volume with blood D-serine level and/or blood D-asparagine level, or reads off from a corresponding table or graph, to evaluate and assess kidney condition. When the formula derived from the relationship with the combination of the D-serine excretion rate and/or D-asparagine excretion rate and the blood D-serine level and/or D-asparagine level, or the corresponding table or graph, requires other correction values such as age, body weight, gender or body height, that information may also be inputted beforehand through the input unit and stored in the storage unit. During calculation of the excretion rate and pathological information, the data processing unit may access the information and input it into the formula, or read out a value from the corresponding table or graph, to calculate the excretion rate and pathological information. The data processing unit 14 may also determine a kidney disease or kidney condition category from the determined excretion rate and blood D-serine level and/or blood D-asparagine level, and pathological information. The data processing unit 14 carries out various computation processing operations on the data measured by the analytical measurement unit 13 and stored in the storage unit 11, based on a program stored in the storage unit. The computation processing is carried out by a CPU in the data processing unit. The CPU includes a functional module that controls the analytical measurement unit 13, input unit 12, storage unit 11 and output unit 15, with the functional module performing various control operations. Each of the units may be constructed by independent integrated circuits, microprocessors and firmware.
The output unit 15 is constructed so as to output the combination of the excretion rate and blood D-serine level and/or blood D-asparagine level, as the results of computation processing by the data processing unit, and pathological information. The output unit 15 may be output means such as a display device with a liquid crystal display that directly displays the computation processing results, or a printer, or it may be an interface unit for output to an external memory unit or output to a network. It may also output the D-serine excretion rate and/or D-asparagine excretion rate, blood D-serine level and/or blood D-asparagine level, and/or kidney condition category, either in combination with glomerular filtration capacity, or independently.
to store in the storage unit a threshold value for evaluation of kidney condition inputted from the input unit, a calculation formula for D-serine excretion rate and/or a calculation formula for D-asparagine excretion rate in urine, and variables necessary for calculation,
to store in the storage unit the D-serine level and/or D-asparagine level in a blood sample and/or urine sample and variables necessary for calculation of the D-serine excretion rate and/or D-asparagine excretion rate in urine, inputted from the input unit,
to call the calculation formula for D-serine excretion rate and/or the calculation formula for D-asparagine excretion rate in urine that is prestored in the storage unit, and the D-serine level and/or D-asparagine level in a blood sample and/or urine sample and the variables, which are stored in the storage unit, and substitute them into the calculation formula for D-serine excretion rate and/or the calculation formula for D-asparagine excretion rate in urine to calculate the D-serine excretion rate and/or D-asparagine excretion rate, in the data processing unit;
to evaluate kidney condition based on comparison between the threshold stored in the storage unit and the D-serine excretion rate into urine and/or D-asparagine excretion rate into urine and the blood D-serine level and/or the blood D-asparagine level, in the data processing unit; and
to output the evaluation results for kidney condition of the subject to the output unit. The program of the invention may be stored in a storage medium, or it may be provided via electronic transmission such as the internet or a LAN.
When the information processing device comprises an analytical measurement unit, it may include a command for causing the information processing device to take the value for the blood sample and/or urine sample measured by the analytical measurement unit and store it in the storage unit, instead of having the D-serine level and/or D-asparagine level values inputted from the input unit.
All of the publications mentioned throughout the present specification are incorporated herein in their entirety by reference.
The examples of the invention described below are intended to serve merely as illustration and do not limit the technical scope of the invention. The technical scope of the invention is limited solely by the description in the Claims. Modifications of the invention, such as additions, deletions or substitutions to the constituent features of the invention, are possible so long as the gist of the invention is maintained.
A retrospective study was used for primary aldosteronism (PA), myeloma kidney (IGAN), diabetic nephropathy (DM) and IgA nephropathy (IGAN), from a cohort of kidney disease patients admitted to the Department of Nephrology, Osaka University Hospital for diagnosis and/or treatment from 2016 to 2017. Since IgA nephropathy test subjects had blood pressure above the reference range, they were given an angiotensin II receptor antagonist (ARB) as an antihypertensive drug. Separately, 15 healthy volunteers were recruited as non-kidney disease subjects by the National Institutes of Biomedical Innovation, Health and Nutrition. The test protocol was approved by the ethics committee of each facility, and written informed consent was obtained from all of the patients.
Sample preparation from human blood plasma and urine was carried out as follows: First a 20-fold volume of methanol was added to and completely mixed with the blood plasma. After centrifugation, 10 μL of supernatant obtained from the methanol homogenate was transferred to a brown tube and dried under reduced pressure. To the residue there were added 20 μL of 200 mM sodium borate buffer (pH 8.0) and 5 μL of fluorescent labeling reagent (40 mM 4-fluoro-7-nitro-2,1,3-benzooxadiazole (NBD-F) in anhydrous MeCN), and the mixture was then heated at 60° C. for 2 minutes. The reaction was suspended by addition of 75 μL of aqueous 0.1% TFA (v/v), and 2 μL of the reaction mixture was supplied to two-dimensional HPLC.
The amino acid optical isomers were quantified using the following two-dimensional HPLC system. NBD derivatives of the amino acids were separated and eluted using a reversed-phase column (KSAA RP, 1.0 mm i.d.×400 mm; Shiseido Corp.), in the mobile phase (5 to 35% MeCN, 0 to 20% THF, 0.05% TFA). The column temperature was 45° C. and the mobile phase flow rate was 25 pt/min. The separated amino acid fraction was separated off using a multi loop valve, and optically resolved in a continuous manner with a chiral column (KSAACSP-001S, 1.5 mm i.d.×250 mm; Shiseido Corp.). The mobile phase used was a MeOH/MeCN mixed solution containing citric acid (0 to 10 mM) or formic acid (0 to 4%), according to the amino acid retention. NBD-amino acids were detected by fluorescence detection at 530 nm using excitation light of 470 nm. The NBD-amino acid retention time was identified from standard amino acid optical isomers and quantified by a calibration curve.
The blood urine D-serine level and blood urine D-asparagine level and creatinine level were calculated by substitution into the following formulas.
[UD-Ser represents urine D-serine level,
PD-Ser represents blood D-serine level,
UCre represents urine creatinine level and
PCre represents blood creatinine level.]
[UD-Asn represents urine D-asparagine level,
PD-Asn represents blood D-asparagine level,
UCre represents urine creatinine level and
PCre represents blood creatinine level.]
The logarithmic converted values of the blood D-serine levels and the logarithmic converted values of the D-serine excretion rates for kidney disease patients and non-kidney disease test subjects were plotted as two-axis coordinates. The non-kidney disease group formed a cluster, the logarithmic average value of the blood D-serine levels being 0.40 and the logarithmic average value of the D-serine excretion rates being 4.12. The reference range for the distance from the mean may be defined as 0.558, from the mean±1.96 standard deviation. In the kidney disease patient group, IGAN was within the reference range but PA, MGRS and DM were outside of the reference range. For DM, the blood D-serine level was well separated from the reference range, indicating its useful for diagnosis (
The logarithmic converted values of the blood D-asparagine levels and the logarithmic converted values of the D-asparagine excretion rates for kidney disease patients and non-kidney disease test subjects were also plotted as two-axis coordinates (
The D-serine excretion rate for IGAN after administration of ARB due to hypertension fell from 64.56% to a value of 25.73%, which was below the reference value (
After obtaining written informed consent from a 36 year-old woman admitted to Osaka University Hospital with systemic lupus erythematosus, with ethical approval from the same University, their blood and urine were periodically sampled. The values rapidly worsened, with serum creatinine increasing from a level of 0.57 mg/dL 90 days before admission to 11.68 mg/dL and urine protein concentration increasing from 0.5 g/g Cre to 4.0 g/g Cre, while blood pressure was 122/65 mmHg, HR was 64 bpm, percutaneous arterial oxygen saturation was 100% (indoor air) and body temperature was 36.5° C. Mouth ulcers, alopecia and retinal hemorrhage were also noted, but no abnormal lung sounds, heart sounds or lower extremity edema was observed. Rapidly progressive glomerulonephritis was suspected in clinical testing, with blood hemoglobin of 4.6 g/dL, normal level complement of C3: 88 mg/dL and C4: 21 mg/dL, positive anti-dsDNA antibody of 13.0 IU/mL1, and P-ANCA of 182.0 U/mL, and therefore plasma exchange (PE) sessions were continued, and kidney biopsy was performed. Crescent-shaped cells were found in 79% of the glomeruli, fibrous crescent-shaped cells were found in 13%, and the glomerular capillaries were thickened with foam and spikes, although no glomerulosclerosis was observed. The interstitial regions showed moderate diffuse infiltration of inflammatory cells, but only slight fibrillation. Tubular atrophy was localized and moderate. In immunofluorescent staining, the granular glomerular capillary walls were positive overall for IgG, IgA, IgM, C3, C4 and C1q. Diagnosis was latent ANCA-related crescent-shaped glomerular nephritis, with lupus nephritis class V. Treatment was by prednisolone pulse therapy (3 days, 1 g), followed by oral prednisolone (40 mg/day), intermittent pulse intravenous cyclophosphamide therapy (500 mg/m2) and mycophenolate mofetil (MMF, 500 mg/day). Eight series of plasma exchange was also carried out. In response to this treatment, the serum creatinine level fell to 0.72 mg/dL, but the urine protein level persisted. Follow-up kidney biopsy showed crescent retreat of glomerular cells, but with overall hardening of 30% of the glomeruli, and persistent thickening of the capillaries.
The harvested blood and urine samples were prepared and quantified in the same manner as Example 1, and the D-serine excretion rates were calculated.
The blood D-serine concentration of the SLE patient immediately after admission was 17.06 nmol/mL, which was one order higher than the non-kidney disease group, and therefore assessment of a different pathology was possible based on this value alone. The value was 0 (below reference range) immediately after start of treatment, 0 (below reference range) after 8 days, 0 (below reference range) after 12 days, 0 (below reference range) after 16 days, 0 (below reference range) after 22 days, 58.9% (within reference range) after 29 days, 87.6% (above reference range) after 34 days, and 41.7% (within reference range) after 48 hours. While the creatinine level was still returning to the normal range by treatment, the D-serine excretion rate temporarily increased, fitting within the reference range calculated in Example 1.
In nephropathy associated with systemic lupus erythematosus, a phenomenon was observed in which the excretion rate of D-serine passed through the reference range and increased beyond and above the reference range during rapid acceleration and retrogression of kidney damage (
A retrospective study was conducted with interstitial nephritis (TIN), prostatic hypertrophy (BPH), Fabry disease (Fabry) or microvariant nephrotic syndrome (MCNS) patients selected from a cohort consisting of kidney disease patients admitted to the Department of Nephrology, Osaka University Hospital from 2016 to 2017 for diagnosis and/or treatment. The test protocol was approved by the ethics committee of Osaka University, and written informed consent was obtained from all of the patients.
The harvested blood and urine samples were prepared and quantified in the same manner as Example 1, and the D-serine excretion rates were calculated.
The blood D-serine levels and D-serine excretion rates of the patients were plotted on a two-axis coordinate system, together with the kidney disease patients of Example 1 (
| Number | Date | Country | Kind |
|---|---|---|---|
| 2019-055744 | Mar 2019 | JP | national |
| 2019-057357 | Mar 2019 | JP | national |
| Filing Document | Filing Date | Country | Kind |
|---|---|---|---|
| PCT/JP2020/012807 | 3/23/2020 | WO | 00 |
